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1 1 Efficient cell pairing in droplets using dual-color sorting 2 3 Hongxing Hu 1 , David Eustace 1 & Christoph A. Merten * 4 European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Meyerhofstrasse 1, 5 Heidelberg, Germany 6 7 8 1 these authors contributed equally. 9 * Correspondence: [email protected] 10 11 Supplementary material 12 Materials and Methods 13 Optical setup 14 The optical setup (Fig. S2) consisted of an inverted Microscope (Nikon Eclipse) 15 mounted on a vibration-dampening platform (Thorlabs GmbH). 405 nm (20 mW; 16 Dragon Lasers), 488 nm (20 mW; Melles Griot) and 561 nm (20 mW; Dragon Lasers) 17 diode lasers were mounted on the platform. A high speed digital camera (Eosens 18 mini1; Mikrotron) was mounted on top of the microscope camera port to capture the 19 images during droplet production and sorting. The emitted light was separated from 20 the laser beams by a 488/532/638 nm wavelength transmitting dichroic beam splitter 21 (DBS; Semrock Inc.), passed through 450 nm (± 20nm), 520 nm (± 19nm) and 610 22 nm long pass filters (AHF) and collected in Photomultiplier tubes (Hamamatsu 23 electronics). Data acquisition and control was performed by a PCI-7831R Virtex II 24 FPGA card (National Instruments Corporation) executing a program written in 25 LabVIEW (National Instruments Corporation). The data acquisition rate for the 26 system was 50 kHz for each fluorescence channel. 27 28 Microfluidic chip design and fabrication 29 All chips were designed in AutoCAD. For the droplet generation chip (Fig. 2A), the 30 nozzle was 100 μm × 75 μm (height × width). For the 45 degree sorting chip (Fig. Electronic Supplementary Material (ESI) for Lab on a Chip. This journal is © The Royal Society of Chemistry 2015
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1 Efficient cell pairing in droplets using dual-color sorting23 Hongxing Hu1, David Eustace1 & Christoph A. Merten*

4 European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Meyerhofstrasse 1, 5 Heidelberg, Germany678 1 these authors contributed equally.9 * Correspondence: [email protected]

10

11 Supplementary material

12 Materials and Methods

13 Optical setup

14 The optical setup (Fig. S2) consisted of an inverted Microscope (Nikon Eclipse)

15 mounted on a vibration-dampening platform (Thorlabs GmbH). 405 nm (20 mW;

16 Dragon Lasers), 488 nm (20 mW; Melles Griot) and 561 nm (20 mW; Dragon Lasers)

17 diode lasers were mounted on the platform. A high speed digital camera (Eosens

18 mini1; Mikrotron) was mounted on top of the microscope camera port to capture the

19 images during droplet production and sorting. The emitted light was separated from

20 the laser beams by a 488/532/638 nm wavelength transmitting dichroic beam splitter

21 (DBS; Semrock Inc.), passed through 450 nm (± 20nm), 520 nm (± 19nm) and 610

22 nm long pass filters (AHF) and collected in Photomultiplier tubes (Hamamatsu

23 electronics). Data acquisition and control was performed by a PCI-7831R Virtex II

24 FPGA card (National Instruments Corporation) executing a program written in

25 LabVIEW (National Instruments Corporation). The data acquisition rate for the

26 system was 50 kHz for each fluorescence channel.

27

28 Microfluidic chip design and fabrication

29 All chips were designed in AutoCAD. For the droplet generation chip (Fig. 2A), the

30 nozzle was 100 µm × 75 µm (height × width). For the 45 degree sorting chip (Fig.

Electronic Supplementary Material (ESI) for Lab on a Chip.This journal is © The Royal Society of Chemistry 2015

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31 2B), the size of the restricted sorting channel was 40 µm × 40 µm (height × width) ×

32 475µm (length). The main channels before the restriction channel were 75 um in

33 height and width.

34 For the collection chip (Fig. 2F), the height of the low layer chamber was 40 µm and

35 the size of the upper layer trap was 100µm in diameter × 100um in height. All

36 microfluidic devices were fabricated using standard soft-lithography 3. Molds were

37 fabricated on silicon wafers using SU-8 resist (Microchem) and patterned by

38 exposure to 375 nm light through 25400 dpi patterned masks (Suess). A mixture of

39 90% Polydimethylsiloxane (PDMS) elastomer (Sylgard 184 polymer base; Dow

40 Corning) and 10% (w/w) curing agent (Dow Corning) was poured over the SU-8

41 molds, degassed and incubated at 65 degree overnight. Polymerized PDMS was

42 peeled off from the mold activated by incubation for 1 min in an oxygen plasma oven

43 (Diemer Femto) and bound to a 50 × 75 × 0.4 mm ITO glass (Delta Technologies).

44 Inlets and outlets were punched using 0.5 mm diameter biopsy punches (Harris Uni-

45 Core) for electrodes and 0.75 mm diameter biopsy punches for the rest. The

46 channels were first flushed by Aquapel (PPG Industries) and, subsequently, by

47 HFE7500 oil (3M).

48

49 Cell cultivation and encapsulation

50 Her2 Hybidoma cells (ATCC® CRL-10463) were grown in complete DMEM medium

51 (Gibco), Jurkat cells (ATCC® TIB-152) were grown in RPMI medium (Gibco), both

52 supplemented with 10% FBS. Hybridoma cells were harvested, stained by Calcein-

53 AM (Lifetechnologies) and Calcein Violet (E-bioscience), respectively, at room

54 temperature for 45 min, washed by PBS twice to remove free dye in the media , and

55 re-suspended in free style media (Gibco) supplemented with 1 mg/ml xanthan gum

56 (Sigma) to prevent cell sedimentation during encapsulation. Subsequently, green and

57 violet cells were mixed equally at a final concentration of 1.5 × 106 cells/ml and

58 injected at a flow rate of 1000 µl/h into the droplet generation chip. Droplets were

59 generated by flow focusing this continuous phase using Novec HFE7500 oil,

60 containing 5% PEG surfactant3 (custom synthesized at Sigma Aldrich), at a flow rate

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61 of 4000 ul/h. Emulsions were collected in a collection tube (cryotobube, Nunc) which

62 was treated with Aquapel (PPG industries) and, subsequently, rinsed by HFE7500

63 oil.

64 Sorting and Imaging

65 Emulsions were re-injected using an electro-osmotic pump (Nano Fusion

66 Technologies) at a flow rate of about 60 µl/h. Oil with 0.5% and 0.25% of PEG

67 surfactant were loaded in syringes individually and injected by Harvard Apparatus

68 PHD 2000 syringe pumps at a flow rate of 400 µl/h (Fig.2B, (a)&(c)) and 600µl/h

69 (Fig.2B, (d)) respectively . A refilling pump was connected with outlet E (Fig.2B, (e))

70 to withdraw all of the droplets that did not trigger sorting to the waste syringe at a flow

71 rate of 760 µl/h. Droplet sorting videos were acquired at ~500 frames per second. A

72 customized LabVIEW sorting program was used to control the droplets sorting. The

73 positive droplets were collected in the collection chip (Fig. 2F-H) and the trapping

74 events were monitored on a cell imaging device (CytoMate Inc.). The collection was

75 finished when all of the traps were occupied. Subsequently, the collection chip was

76 rinsed with oil containing 0.25% PEG surfactant to remove un-trapped droplets.

77 Sorting enrichment was determined by automated scanning of the entire collection

78 chip at 10-fold magnification using an inverted fluorescence microscope (Nikon

79 eclipse Ti), equipped with a motorized stage and a Hamamatsu Digital camera.

80 Images were stitched, processed and analyzed using ilastik (ilastik.org) and ImageJ.

81

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82 Table S1: Sorting results. ND = not detectable

Dual color droplets

Single

color

droplets

Empty

dropletsCell type

2 cells 3 cells ≥4 cells ≥1 cell 0 cells

hybridoma

cellsNumber 379 83 4 3138 ND

Before

sorting

(PMT data) Percentage 10.5% 2.3% 0.1% 87.1% ND

Number 5 2 1 57 161Before

sorting

(collection

chip)

Percentage 2.2% 0.9% 0.4% 25.2% 71.2%

Number 191 47 5 6 0After

sorting

(collection

chip)

Percentage 76.7% 18.9% 2% 2.4% 0

Jurkat cells Number 2291 535 69 16868 NDBefore

sorting

(PMT data)Percentage 11.6% 2.7% 0.4% 85.4% ND

Number 14 10 2 177 291Before

sorting

(collection

chip)

Percentage 2.8% 2.0% 0.4% 35.8% 58.9%

Number 402 32 0 26 4After

sorting

(collection

chip)

Percentage 86.6% 6.9% 0.0% 5.6% 0.9%

83

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8485 Figure S1. Flowchart summarizing the logic of the LabVIEW control software 86 programmed at EMBL, Heidelberg. This algorithm runs in parallel for both of the PMT 87 channels (one for each colour) and detects peaks in the signal values. This allows cells 88 within droplets to be detected and for a sorting decision to be made for each passing 89 droplet based on the intensity of the signal, the number of peaks detected, the width of 90 the overall peak and the spacing between droplets that contain at least one cell. This 91 software and a user manual can be freely downloaded for academic use at 92 www.merten.embl.de/index.html.

93

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94

95 Fig. S2. Schematic of the optical setup. The fluorescence-based sorting setup 96 uses diode lasers with excitation wavelengths of 405 nm (Calcein Violet), 488 nm 97 (Calcein-AM) and 561 nm (optional third laser for assay readouts). Emission signals 98 are detected using PMTs with a 450 nm band-pass filter (blue), a 521 nm band-pass 99 filter (green), and a 610 nm longpass filter (red). Sorting signals are processed using

100 LabVIEW software running on a FPGA card triggering a high voltage amplifier. 101 Imaging is performed using an inverted microscope equipped with a high speed 102 camera. 103

104105

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106 Fig. S3. Example of the signal peaks in one droplet. The zoom in (inset) reveals a 107 jigsaw shape of the signal at low intensity, thus making the use of inflection points for 108 the detection of peaks impossible. 109

110111112 Fig. S4. Signal variation of Calcein-AM and Calcein-violet stained cells inside 113 droplets. (A) Droplet showing one green peak and two overlapping violet peaks, 114 corresponding to a clump of 2 violet cells, with a valley between the two peaks above 115 a value of 0.5 fluorescence units. This value is higher than the green peak of another 116 droplet (B) hosting exactly one green and one violet cell. Therefore using static 117 thresholds (solid black lines) is not sufficient to accurately detect the number of 118 encapsulated cells. However, when specifically detecting drops in the fluorescence 119 signal exceeding the maximum noise (red dots), the number of peaks can be 120 correctly determined, independently of the peak intensities.121

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122

123

124 Figure S5. Leakage of Calcein Violet from cells encapsulated into droplets. (A) 125 Zoom in of the fluorescence signals over 8 hours incubation at room temperature. The 126 strongly decreased scale of the Y-axis (from 0 to 0.05 A.U.) allows illustrating the 127 increase in the droplet signal (wide peaks), but requires cropping of the cell signals 128 (narrow subpeaks with intensities as shown in (B)). (B) Time course of fluorescence 129 signals of droplets hosting Calcein Violet-stained hybridoma cells. After incubation for the 130 indicated time periods off-chip, the droplets were reinjected into the sorting device and 131 the fluorescence signals were determined in the detection channel using a PMT.. (C) 132 Fitted LOESS smoothing line of droplet fluorescence intensities (turquoise line), 133 individual data points (turquoise circles) and confidence (grey shades) of the droplet 134 signals. (D) Fitted LOESS smoothing line of cell fluorescence intensities (red line), 135 individual data points (red circles) and confidence bands (grey shades) of the cell signals. 136 (E) Intensities of cell and droplet signals plotted at the same scale.137

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138139140 Figure S6. Leakage of Calcein Violet from cells cultivated in glass bottom wells. (A) 141 Calcein Violet-stained hybridoma cells were incubated for the indicated time periods (X-142 axis) and Fluorescence intensities of the media supernatants over time was determined 143 by imaging (manually selected samples analyzed for their intensity using ImageJ). (B) 144 Fluorescence intensities of the calcein violet-stained hybridoma cells over time. (C) 145 Intensities of the cell and droplet signals plotted at the same scale. Solid lines = fitted 146 LOESS smoothing line of fluorescence intensities; open circles = individual data points; 147 grey shades = confidence bands.148

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149

150 Fig. S7. Efficiency of the sorting process for droplets hosting differently 151 stained Her2 Hybridoma cells. Blue fluorescence of droplets captured in the 152 collection chip before (A) and after (C) sorting. Green fluorescence of droplets 153 captured in the collection chip before (B) and after (D) sorting.154

155156157

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158 Fig. S8. Fluorescence analysis of the droplets detected by PMT. (A) Two 159 dimensional dot plot of fluorescence signals of droplets. The red arrow indicates one 160 example of the dual color droplet with two cells. (B) Dot plot showing violet and green 161 signals of the droplets. (C) Droplet occupancy before sorting .

162

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163

164165 Fig. S9. Efficiency of the sorting process for droplets hosting differently 166 stained Jurkat cells. Blue fluorescence of droplets captured in the collection chip

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167 before (A) and after (E) sorting.Green fluorescence of droplets captured in the 168 collection chip before (B) and after (F) sorting. Bright field images of droplets 169 captured in the collection chip before (C) and after (G) sorting. Merged blue, green 170 and bright field images before (D) and after (H) sorting. (I) Droplet occupancies in 171 the collection chip before (top) and after (bottom) sorting.172173

174 Supplementary movie S1. Spacing of reinjected droplets upstream of the

175 sorting junction (visualized using a 2-fold objective).

176

177 Supplementary movie S2. Droplet sorting (visualized using a 40-fold objective). 178 The fluorescence signals of each droplet are measured in real time at 100 kHz and 179 processed. Droplets hosting exactly one green and one violet cell are actively pulled 180 into to the collection channel by switching on the electrodes. For all droplets with 181 undesired occupancies, the electrodes remain switched off and the droplets follow 182 the main flow into the waste channel. 183184 Supplementary movie S3. Leakage of Calcein Violet from cells cultivated in glass 185 bottom wells. Time lapse imaging of cells stained with Calcein Violet over a time period 186 of 9.5 hours with 30 minute intervals.


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